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PandaScore vs Cito API (2026)
Short answer: PandaScore scores clearly higher overall (65 vs 45). Cito API is the better pick for developers building UFC and MMA apps or betting models who need fighters, cards, round stats and odds, with a free key to start.
From public data checked . How we know
Choose PandaScore if you…
Esports data
Best for: Esports apps and stats sites that need schedules, results and post-match data per game, with a free fixtures tier and an optional live WebSocket feed.
- ✓ need live / in-play data
- ✓ value a large open-source ecosystem of wrappers and examples
Not ideal for: Building odds or betting products from the stats plans; those plans bar betting use and redistribution, so betting customers must go through sales.
What developers say
Esports data provider with REST API covering LoL, CS, Dota and others. Seen in dev questions for upcoming-match apps and a few GitHub wrappers and bots. Community remarks are sparse and mostly old: one user notes odds are paywalled, and it appears as one of few usable esports APIs. No real user verdict on quality or pricing.
Choose Cito API if you…
Sports data API
Best for: Developers building UFC and MMA apps or betting models who need fighters, cards, round stats and odds, with a free key to start.
- ✓ need MMA, Tennis
Not ideal for: Teams that need official or rights-cleared league data, or wide coverage beyond MMA, esports and tennis.
What developers say
Newer unified sports and esports API with UFC, CS2, Dota 2 and LoL data, a free key and paid plans. Only a few small hobby repos use it, plus an automatic OpenAPI import issue. There are no user discussions, so quality, limits and pricing feedback are unknown.
Side by side
| PandaScore | Cito API | |
|---|---|---|
| SportDex Score | 65/100 (#9) | 45/100 (#86) |
| Popularity | 53 | 15 |
| Community & reliability | Not enough data | Not enough data |
| Transparency | 90 | 75 |
| Developer experience | 61 | 68 |
| Type | Esports data | Sports data API |
| Starting price | from €400/mo | Free tier |
| Free tier | Yes | Yes |
| Free trial | Not stated | Demo access |
| Sports | Esports | MMA, Esports, Tennis |
| Data | Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats | Fixtures, Historical data, Odds, Player stats, Results, Live scores, Standings, Team stats |
| Delivery | Streaming (WebSocket) | Streaming (WebSocket, SSE) |
| Protocols | REST, WebSocket | REST, WebSocket, SSE |
| Live / in-play | Yes | Not disclosed |
| Commercial use | Commercial: Paid plans only | Commercial: Paid plans only |
| Betting products | Betting: Not allowed | Betting: not disclosed |
| Documentation | Docs | Docs |
| Developer discussions | 8 | 0 |
| GitHub repos | 195 | 11 |
| Community tone | Too little discussion | Too little discussion |
Empty fields mean the provider does not say, not that the feature is missing.
Quick answers
- Is PandaScore or Cito API better?
- PandaScore scores clearly higher overall (65 vs 45). Cito API is the better pick for developers building UFC and MMA apps or betting models who need fighters, cards, round stats and odds, with a free key to start.
- Which is cheaper, PandaScore or Cito API?
- PandaScore: from €400/mo. Cito API: Free tier. Entry plans differ in limits and coverage, so compare what each plan includes.
- Do PandaScore and Cito API have a free tier?
- PandaScore: yes. Cito API: yes.